COALA: Numerically Stable and Efficient Framework for Context-Aware Low-Rank Approximation
arXiv:2507.07580v3 Announce Type: replace
Abstract: Recent studies suggest that context-aware low-rank approximation is a useful tool for compression and fine-tuning of modern large-scale neural networks. In this type of approximation, a norm is weigh…